Safety
Observable risk conditions for people, routes and working environments.
VERTICAL / AI SAFETY, SECURITY & OPERATIONS
Connects safety, security and environmental signals, turning isolated alerts into contextual events that are immediately readable.
01 / THESIS
Observable risk conditions for people, routes and working environments.
Perimeters, access and contextual protection of industrial assets.
Flow anomalies and signals supporting continuity, maintenance and logistics.
Evidence, responsibilities and traceability supporting control processes.
02 / EVENT ENGINE
Every anomaly gains meaning through space, time, other signals and human verification.
Video, audio events and environmental sensors collect selected signals.
Area, time, system status, operating rules and AI build context.
Human verification, escalation, closure and review make the event operational.
03 / USE CASES
Technology supports prevention and compliance without replacing safeguards, training, supervision or accountable roles. GDPR, worker protections, NIS2, the AI Act and sector rules require assessment for each use.
Human–vehicle interaction, restricted areas and obstructed routes.
Intrusion, after-hours access, anomalous doors and possible tampering.
Temperature, gas, air quality and particulates correlated with video and systems.
Loading-bay queues, transit anomalies, downtime signals and unavailable sensors.
04 / PILOT
A defined scope, measurable outcomes and a shared decision on expansion.
One site, two or three use cases, responsibilities and authorizations.
Smart Adapter, compatible assets, Edge AI and calibration.
Observation and controlled tests with human verification.
Accuracy, missed detections, latency and response time.